Method and system for detecting known measurable object features

ABSTRACT

A method and system for detecting a known measurable object feature using a video inspection system. The method and system displays an image of a viewed object and detects a known measurable object feature on the viewed object. The method and system then displays a set of available measurement types including a measurement type associated with the detected known measurable object feature and/or automatically positions a plurality of measurement markers on the displayed image based on the measurement type associated with the detected known measurable object feature.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Continuation-in-Part of, and claims priority to,U.S. patent application Ser. No. 13/892,794, filed May 13, 2013, andentitled AUTOMATED BORESCOPE MEASUREMENT TIP ACCURACY TEST, now U.S.Pat. No. 9,074,868, the entirety of which is incorporated herein byreference.

BACKGROUND OF THE INVENTION

The subject matter disclosed herein relates to a method and system fordetecting a known measurable object feature using a video inspectionsystem.

Video inspection systems, such as video endoscopes or borescopes, can beused to inspect a surface of an object to identify and analyze anomaliesor features (e.g., pits or dents) on the object that may have resultedfrom, e.g., damage, wear, corrosion, or improper installation. In manyinstances, the surface of the object is inaccessible and cannot beviewed without the use of the video inspection system. For example, avideo inspection system can be used to inspect the surface of a blade ofa turbine engine on an aircraft or power generation unit to identify anyanomalies that may have formed on the surface to determine if any repairor further maintenance is required. In order to make that assessment, itis often necessary to obtain highly accurate-dimensional measurements ofthe surface and the anomaly to verify that the anomaly does not exceedor fall outside an operational limit or required specification for thatobject.

A video inspection system can be used to obtain and display atwo-dimensional image of the surface of a viewed object showing theanomaly to determine the dimensions of an anomaly on the surface. Thistwo-dimensional image of the surface can be used to generatethree-dimensional data of the surface that provides thethree-dimensional coordinates (e.g., (x, y, z)) of a plurality of pointson the surface, including proximate to an anomaly. In some videoinspection systems, the user can operate the video inspection system ina measurement mode to enter a measurement screen in which the userplaces cursors on the two-dimensional image to determine geometricdimensions of the anomaly. In many instances, the contour of a viewedfeature is difficult to assess from the two-dimensional image, makinghighly accurate placement of the cursors proximate to the anomalydifficult as it is difficult for the user to visualize the measurementbeing performed in three-dimensional space. This process may not alwaysresult in the desired geometric dimension or measurement of the anomalybeing correctly determined and can be time consuming.

The discussion above is merely provided for general backgroundinformation and is not intended to be used as an aid in determining thescope of the claimed subject matter.

BRIEF DESCRIPTION OF THE INVENTION

A method and system for detecting a known measurable object featureusing a video inspection system is disclosed. The method and systemdisplays an image of a viewed object and detects a known measurableobject feature on the viewed object. The method and system then displaysa set of available measurement types including a measurement typeassociated with the detected known measurable object feature and/orautomatically positions a plurality of measurement markers on thedisplayed image based on the measurement type associated with thedetected known measurable object feature.

An advantage that may be realized in the practice of some disclosedembodiments of the method and system for automatically detecting a knownmeasurable object feature using a video inspection system is theimproved efficiency of the measuring process and the reduction in thelevel of skill required to perform the measurements.

In one embodiment, a method for automatically detecting a knownmeasurable object feature on a viewed object using a video inspectionsystem is disclosed. The method includes the steps of displaying on adisplay an image of the viewed object, detecting the known measurableobject feature on the viewed object using a central processor unit,displaying on the display a set of available measurement typescomprising a measurement type associated with the detected knownmeasurable object feature using the central processor unit, receivingthe selection of the measurement type associated with the detected knownmeasurable object feature, automatically positioning a plurality ofmeasurement markers on the image on the display using the centralprocessor unit, wherein the positions of the plurality of measurementmarkers are based on the selected measurement type associated with thedetected known measurable object feature, and displaying on the displaya dimension of the measurable object feature computed by the centralprocessor unit using the positions of the plurality of measurementmarkers.

In another embodiment, the method includes the steps of displaying on adisplay an image of the viewed object, detecting the known measurableobject feature on the viewed object using a central processor unit, andautomatically positioning a plurality of measurement markers on theimage on the display using the central processor unit, wherein thepositions of the plurality of measurement markers are based on ameasurement type associated with the detected known measurable objectfeature, and displaying on the display a dimension of the measurableobject computed by the central processor unit using the positions of theplurality of measurement markers.

In yet another embodiment, a system for automatically detecting a knownmeasurable object feature on a viewed object using a video inspectionsystem is disclosed. The system includes a display for displaying animage of the viewed object, and a central processor unit for detectingthe known measurable object feature on the viewed object, displaying onthe display a set of available measurement types comprising ameasurement type associated with the detected known measurable objectfeature, receiving the selection of the measurement type associated withthe detected known measurable object feature, automatically positioninga plurality of measurement markers on the image on the display, whereinthe positions of the plurality of measurement markers are based on theselected measurement type associated with the detected known measurableobject feature, and computing a dimension of the measurable objectfeature using the positions of the plurality of measurement markers.

This brief description of the invention is intended only to provide abrief overview of subject matter disclosed herein according to one ormore illustrative embodiments, and does not serve as a guide tointerpreting the claims or to define or limit the scope of theinvention, which is defined only by the appended claims. This briefdescription is provided to introduce an illustrative selection ofconcepts in a simplified form that are further described below in thedetailed description. This brief description is not intended to identifykey features or essential features of the claimed subject matter, nor isit intended to be used as an aid in determining the scope of the claimedsubject matter. The claimed subject matter is not limited toimplementations that solve any or all disadvantages noted in thebackground.

BRIEF DESCRIPTION OF THE DRAWINGS

So that the manner in which the features of the invention can beunderstood, a detailed description of the invention may be had byreference to certain embodiments, some of which are illustrated in theaccompanying drawings. It is to be noted, however, that the drawingsillustrate only certain embodiments of this invention and are thereforenot to be considered limiting of its scope, for the scope of theinvention encompasses other equally effective embodiments. The drawingsare not necessarily to scale, emphasis generally being placed uponillustrating the features of certain embodiments of the invention. Inthe drawings, like numerals are used to indicate like parts throughoutthe various views. Thus, for further understanding of the invention,reference can be made to the following detailed description, read inconnection with the drawings in which:

FIG. 1 is a schematic diagram of an exemplary remote visual inspectionsystem;

FIG. 2 is a perspective of components of a detachable tip for a remotevisual inspection system according to an exemplary embodiment;

FIG. 3 is a flowchart illustrating exemplary ways of testing measurementaccuracy of a remote visual inspection system;

FIG. 4 is a high-level diagram showing an exemplary data-processingsystem and related components;

FIG. 5 is top view of an exemplary light-emitting diode (LED) array on alight emitter module made using elongated die;

FIG. 6 is a top view of an exemplary intensity modulating elementincluding a line grating;

FIG. 7 is an exemplary image of a structured light pattern created bypassing light through an intensity modulating element;

FIG. 8A is a perspective of an exemplary test feature;

FIG. 8B is a perspective showing a cross-section of an exemplary testfeature;

FIG. 9 is a plan view of an exemplary test feature;

FIG. 10 is a perspective of an exemplary test object;

FIG. 11 is an exemplary display of an exemplary image obtained by thevideo inspection system of a test object in an another exemplaryembodiment of the invention;

FIG. 12 is the display of FIG. 11, now displaying a set of availablemeasurement types;

FIG. 13 is the display of FIG. 12, now showing a plurality ofmeasurement markers on the image on the display;

FIG. 14 is an exemplary display of an exemplary image obtained by thevideo inspection system of a turbine blade and shroud in an anotherexemplary embodiment of the invention;

FIG. 15 is the display of FIG. 14, now displaying a set of availablemeasurement types;

FIG. 16 is the display of FIG. 15, now showing a plurality ofmeasurement markers on the image on the display; and

FIG. 17 illustrates a flow diagram of an exemplary method forautomatically detecting a known measurable object feature on a viewedobject using the video inspection system.

DETAILED DESCRIPTION OF THE INVENTION

In the following description, some embodiments will be described interms that would ordinarily be implemented as software programs. Thoseskilled in the art will readily recognize that the equivalent of suchsoftware can also be constructed in hardware (hard-wired orprogrammable), firmware, or micro-code. Accordingly, embodiments of thepresent invention may take the form of an entirely hardware embodiment,an entirely software embodiment (including firmware, resident software,or micro-code), or an embodiment combining software and hardwareaspects. Software, hardware, and combinations can all generally bereferred to herein as a “service,” “circuit,” “circuitry,” “module,” or“system.” Various aspects can be embodied as systems, methods, orcomputer program products. Because data manipulation algorithms andsystems are well known, the present description will be directed inparticular to algorithms and systems forming part of, or cooperatingmore directly with, systems and methods described herein. Other aspectsof such algorithms and systems, and hardware or software for producingand otherwise processing signals or data involved therewith, notspecifically shown or described herein, are selected from such systems,algorithms, components, and elements known in the art. Given the systemsand methods as described herein, software not specifically shown,suggested, or described herein that is useful for implementation of anyaspect is conventional and within the ordinary skill in such arts.

FIG. 1 is a schematic diagram of an exemplary remote visual inspectionsystem. Further details of this system are described in U.S. PublicationNo. 2011/0205552. Illustrated in FIG. 1, an exemplaryborescope/endoscope probe or system 100 is shown. An insertion tube 40comprises elongated portion 46 and detachable distal tip 42. Elongatedportion 46 comprises a main long, flexible portion, a bending neck, anda camera head. Delineation line 41 shows where the camera head starts onelongated portion 46. The camera head of elongated portion 46 typicallyincludes at least image sensor 112, electronics 113, and probe optics115. Detachable distal tip 42 typically attaches to the camera head ofelongated portion 46, mentioned above. Detachable distal tip 42 containsviewing optics 44 which are used in combination with probe optics 115 toguide and focus light received from the surface or object (not shown)onto image sensor 112. The viewing optics 44 may optionally includerelay optics such as a lens or fiber optic system to remote the camerahead away from the distal tip 42. Herein, the terms “imager” and “imagesensor” are interchangeable.

Image sensor 112 may comprise, for example, a two-dimensional array oflight-sensitive pixels that outputs a video signal in response to thelight level sensed at each pixel. Image sensor 112 may comprise acharge-coupled device (CCD), complementary metal-oxide-semiconductor(CMOS) image sensor, or other devices of similar function. The videosignal is buffered by electronics 113 and transferred to imagerinterface electronics 31 via signal line 114. Imager interfaceelectronics 31 may include, for example, power supplies, a timinggenerator for generating image sensor clock signals, an analog front endfor digitizing the image sensor video output signal, and a digitalsignal processor for processing the digitized image sensor video datainto a more useful format for video processor 50.

Video processor 50 performs various functions not limited to imagecapture, image enhancement, graphical overly merging, and video formatconversion and stores information relating to those functions in videomemory 52. Video processor 50 may comprise field-programmable gate array(FPGA), digital signal processor (DSP), or other processing elements andprovides information to and receives information from central processingunit (CPU) 56. The provided and received information may relate tocommands, status information, video, still images, or graphicaloverlays. Video processor 50 also outputs signals to various monitorssuch as computer monitor 122, video monitor 120, and integral display121. Examples of components of or connected to video processor 50 aredescribed below with reference to FIG. 4.

When connected, each of computer monitor 122, video monitor 120, orintegral display 121 typically display images of the object or surfaceunder inspection, menus, cursors, and measurement results. Computermonitor 122 is typically an external computer type monitor. Similarly,video monitor 120 typically includes an external video monitor. Integraldisplay 121 is integrated and built into probe or system 100 andtypically comprises a liquid crystal display (LCD).

CPU 56 can use both program memory 58 and non-volatile memory 60, whichmay include removable storage devices. CPU 56 may also use volatilememory such as RAM for program execution and temporary storage. A keypad64 and joystick 62 convey user input to CPU 56 for such functions asmenu selection, cursor movement, slider adjustment, and articulationcontrol. Computer I/O interface 66 provides various computer interfacesto CPU 56 such as USB, FIREWIRE, Ethernet, audio I/O, and wirelesstransceivers. Additional user I/O devices such as a keyboard or mousemay be connected to computer I/O interface 66 to provide user control.CPU 56 generates graphical overlay data for display, provides recallfunctions and system control, and provides image, video, and audiostorage. Examples of components of or connected to CPU 56 are describedbelow with reference to FIG. 4. In various embodiments, CPU 56 isconfigured to perform phase-shift or shadow analysis and measurementprocessing.

Probe or system 100 further comprises contacts 36 that electricallycouple elongated portion 46 to distal tip 42 through the camera head.Contacts 36 may be spring loaded and also provide electrical power fromdrive conductor 35 to light emitter module 37, which comprises aplurality of light emitters. Drive conductor 35 carries power fromemitter drive 32 to the plurality of light emitters disposed in parallelon the distal end of insertion tube 40. Drive conductor 35 comprises oneor more wires and may be incorporated with signal line 114 in a commonouter jacket (not shown). Drive conductor 35 may also share conductorswith signal line 114 or utilize the insertion tube 40 structure forcarrying current. Emitter drive 32 includes, for example, an adjustablecurrent source with a variable on time to compensate for light emitterswith differing power capabilities and efficiencies. Emitter drive 32also comprises brightness or fringe contrast determining function 39.Alternatively, video processor 50, discussed above, may include fringecontrast determining function 39.

The at least one light emitter module 37 on distal tip 42 can include aplurality of light emitters and optionally other electronics forcontrol/sequencing of light emitters, sensing temperature, andstorage/retrieval of calibration data. The at least one light emittermodule 37 may include a heat sink made of a ceramic or metal, forexample, to reduce the temperature rise of the plurality of lightemitters. In various embodiments, light from a plurality of lightemitters disposed on distal tip 42 is passed through at least oneintensity modulating element 38 to alter the distribution of light andproject at least one structured-light pattern on the surface suitablefor phase-shift analysis. A fringe set comprises a structured-lightpattern projected when one light emitter group of at least one of theplurality of light emitters is emitting light. Light from the pluralityof light emitters is passed through the at least one intensitymodulating element 38 to project a plurality of fringe sets onto thesurface. In other embodiments, some light from one or more lightemitter(s) is absorbed or reflected by an object that thereby casts ashadow of a known shape.

In embodiments using phase measurement, the probe operates inmeasurement mode when the at least one of the plurality of fringe setsis projected onto the surface. During measurement mode, light emittermodule 37 is enabled and at least one digital image comprising astructured-light pattern on the surface is captured. Phase-shiftanalysis is may be performed directly on the at least one captureddigital image. It may also be performed on data derived from the atleast one captured digital image. For example, a luminance componentderived from an YCrCb, RGB, or any other captured image format can beused. Thus, any reference to performing phase-shift analysis on an imagemade herein would include performing phase-shift analysis on the actualreferenced image or on any data derived from the referenced image.

In embodiments using phase measurement, or in other embodiments, theprobe operates in inspection mode when the at least one structured-lightpattern is absent. During inspection mode, inspection light source 123is enabled and outputs light from the distal end of insertion tube 40.The elements that produce and deliver light during inspection mode maycollectively be referred to as an inspection light delivery system. Inone embodiment, the inspection light delivery system comprisesinspection light source 123, source fiber bundle 24, shutter mechanism34, probe fiber bundle 125, and light passing element 43. In otherembodiments, the inspection light delivery system may comprise verydifferent elements such as, in the case of distally-located white LEDs,an LED drive circuit that can be disabled or provides an adjustableoutput current, wires for delivering power to the LEDs, the LEDsthemselves, and a protective element to protect the LEDs. Duringmeasurement mode, the intensity of light output from the inspectionlight delivery system is automatically decreased to avoid reducing thecontrast of the at least one structured-light pattern, for example.

Inspection light source 123 is typically a white light source, but maycomprise any appropriate light source for a probe such as a mercury ormetal halide arc lamp, halogen lamp, laser/phosphor system, or LED basedlight source which can be either proximally or distally located. When afiber based light source is used, source fiber bundle 24 is included inprobe or system 100. Source fiber bundle 24 comprises a non-coherent orsemi-coherent fiber optic bundle and transmits light to shuttermechanism 34. Shutter mechanism 34 allows light output from theinspection light delivery system during inspection mode or regularinspection and blocks or otherwise inhibits light output from theinspection light delivery system during measurement mode or measurementpattern projection. Shutter mechanism 34 includes, for example, asolenoid or motor driven mechanical shutter or an electric light sourcedisabler. The location of shutter mechanism 34 can vary based on itsimplementation. When shutter mechanism 34 allows light to pass, probefiber bundle 125 delivers light to the surface or inspection site vialight passing element 43. Probe fiber bundle 125 can include anon-coherent fiber optic bundle. Light passing element 43 can include aglass cane, formed fibers, or distribution control features such aslenses or a diffuser.

The previously discussed imager interface electronics 31, emitter drive32, and shutter mechanism 34 are included in the probe electronics 48.Probe electronics 48 may be physically separated from a main controlunit or CPU 56 to provide more local control over probe-relatedoperations. Probe electronics 48 further comprise calibration memory 33.Calibration memory 33 stores information relating to the optical systemof distal tip 42 or elongated portion 46 such as magnification data,optical distortion data, and pattern projection geometry data.

Microcontroller 30, also included in probe electronics 48, communicateswith imager interface electronics 31 to determine and set gain andexposure settings; controls emitter drive 32 circuitry; stores and readscalibration data from the calibration memory 33; controls shuttermechanism 34; and communicates with CPU 56. Examples of components of orconnected to microcontroller 30 are discussed below with reference toFIG. 4.

Referring back to distal tip 42, the elements shown in distal tip 42 canalternatively be located on elongated portion 46. These elements includeviewing optics 44, at least one light emitter module 37, at least oneintensity modulating element 38, and light passing element 43, discussedabove. In addition, the at least one light emitter module 37 comprisinga plurality of light emitters can be fixedly attached to insertion tube40 while the at least one intensity-modulating element 38 is disposed ondistal tip 42. In such embodiments, precise and repeatable alignmentbetween distal tip 42 and elongated portion 46 is required, permitsrealizing the advantage of permitting different fields of view whileeliminating the need for contacts between elongated portion 46 anddistal tip 42.

Mentioned above, in phase-measurement embodiments, a structured-lightpattern is created on the surface by passing light through at least oneintensity-modulating element 38, which alters the distribution of light.The structured-light pattern can comprise parallel light and dark linescomprising sinusoidal intensity profiles. Line patterns having square,trapezoidal, triangular, or other profiles may be projected on thesurface as well when used with appropriate phase-shift analysis todetermine phase of the pattern. The pattern may also comprise other thanstraight, parallel lines. For example, curved lines, wavy lines,zigzagging lines, or other such patterns may be used with appropriateanalysis.

In one phase-measurement embodiment, the at least one intensitymodulating element 38 comprises a line grating 90, shown in FIG. 6. Inaddition, the at least one light emitter module comprises a plurality oflight emitters. Particularly, the at least one light emitter modulecomprises LEDs or an LED array.

In various phase-measurement embodiments, a fringe set comprises astructured-light pattern projected when one light emitter group of atleast one of the plurality of light emitters is emitting light. Theplurality of light emitters of light emitter module 37 are positionedsuch that the structured-light pattern projected when one group of atleast one light emitter is emitting exhibits a spatial or phase-shiftrelative to the structured-light patterns projected when other groups ofat least one light emitter are emitting. In other words, thestructured-light pattern of one fringe set exhibits a spatial orphase-shift relative to the structured-light patterns of other fringesets.

FIG. 2 is a perspective of components of a detachable tip 142 for aremote visual inspection system, e.g., a distal tip 42 (FIG. 1),according to an exemplary embodiment. The tip 142 can be attached toinsertion tube 40, shown for orientation. The illustrated components oftip 142 can be enclosed in a housing that shields those components fromdirt or other contaminants, mechanical damage, or harsh environments.The tip 142 can be used to perform phase measurements usingstructured-light patterns. Further details of tip 142 are described inthe above-referenced U.S. Publication No. 2011/0205552.

Two light emitter modules 137 a, 137 b comprising a plurality of lightemitters are positioned on each side of forward viewing optics 144. Theplurality of light emitters positioned on one side of viewing optics 144comprises first light emitter module 137 a, and the plurality of lightemitters positioned on the other side of viewing optics 144 comprisessecond light emitter module 137 b. In addition, intensity modulatingelement 138 comprises two intensity modulating areas 138 a and 138 b,one intensity modulating area positioned on each side of forward viewingoptics 144. Light from first light emitter module 137 a is passed viapath 170 a through intensity modulating area 138 a, which forms a firstprojection set, and light from second emitting module 137 b is passedvia path 170 b through intensity modulating area 138 b, which forms asecond projection set. Intensity modulating element 138 comprises linegrating 190, which alters the distribution of light and creates astructured-light pattern on the surface compatible with phase-shiftanalysis.

An image sensor (not shown) obtains a first image set and a second imageset. The first image set comprises at least one image of a projectiononto the surface of at least one of the plurality of fringe sets of thefirst projection set, and the second image set comprises at least oneimage of a projection onto the surface of at least one of the pluralityof fringe sets of the second projection set.

First light emitter module 137 a associated with first intensitymodulating area 138 a is positioned on one side of viewing optics 144,and second light emitter module 137 b associated with second intensitymodulating area 138 b is positioned on the other side of viewing optics144 such that the at least one structured-light pattern reflected fromthe surface passes through viewing optics 144 to reach the image sensor(not shown).

The two light emitter modules 137 a, 137 b each comprise an elongatedLED array 180, which in turn comprises at least three light emitters.Alternatively, the two light emitter modules 137 a, 137 b may eachcomprise a plurality of light emitters, each of the plurality of lightemitters comprising a series string of at least two LEDs. A lightpassing element (not shown), which delivers light from an inspectionlight source 123 (FIG. 1) to the surface may also be included in distaltip 142. Optional circuitry 150 located on distal tip 142 may controlsequencing of the LEDs, select between single and multiple LEDs, sensetemperature, and store/retrieve calibration data. The optional circuitry150 can be managed by the CPU 56 or microcontroller 30 shown in FIG. 1.

It will be understood that, while certain components have been shown asa single component (e.g., CPU 56) in FIG. 1, multiple separatecomponents can be used to perform the functions of the CPU 56.

In probe or system 100, the first projection set comprises a pluralityof fringe sets and the second projection set comprises a plurality offringe sets. The plurality of light emitters are positioned such thatthe structured-light pattern of one fringe set of the first projectionset projected from one light emitter group of the first light emittermodule exhibits a phase-shift relative to the structured-light patternsof the other fringe sets of the first projection set projected from theother light emitter groups of the first light emitter module. Similarly,the structured-light pattern of one fringe set of the second projectionset projected from one light emitter group of the second light emittermodule exhibits a phase-shift relative to the structured-light patternsof the other fringe sets of the second projection set projected from theother light emitter groups of the second light emitter module.

The plurality of light emitters are positioned such that thestructured-light pattern of one fringe set of the first projection setexhibits a spatial or phase-shift relative to the structured-lightpatterns of other fringe sets of the first projection set. Similarly,the structured-light pattern of one fringe set of the second projectionset exhibits a spatial or phase-shift relative to the structured-lightpatterns of other fringe sets of the second projection set.

In one embodiment, the first light emitter module comprises three lightemitter groups and the second light emitter module comprises three lightemitter groups. Therefore, three fringe sets comprising the firstprojection set are produced from one side of viewing optics 144 andthree fringe sets comprising the second projection set are produced fromthe other side of viewing optics 144. Therefore, probe or system 100 canproject a total of six fringe sets, three fringe sets from each side ofthe FOV. In order to improve brightness and contrast, light emittermodules 137 a and 137 b may include more than three LEDs along with abrightness determining function as described in detail above.Furthermore, the plurality of light emitters of light emitter modules137 a and 137 b may each include a series string of at least two LEDs.

The accuracy of a system employing structured-light projection andphase-shift analysis is largely determined by its baseline spacing. Inthe case of a typical system wherein the absolute phase of a fringe setcombined with its position in the FOV are used to determine absoluteobject distance, the baseline spacing is the distance between theprojection origin and the camera field of view origin. In thisembodiment, wherein the difference between the absolute phases of thetwo separate fringe sets is used to determine absolute object distance,the baseline spacing is the distance between light emitter modules 137 aand 137 b. Thus, accuracy is improved when the distance between the twolight emitter modules 137 a and 137 b is larger than the distancebetween the viewing optics 144 and a single light emitter module 137. Asmechanical constraints in small-diameter probes make it difficult tosubstantially offset the viewing optics 144 from the center of theinsertion tube 140, the described embodiment employing two light emittermodules 137 a and 137 b can generally achieve a larger baseline spacingthan could be achieved with a single light emitter module 137 in aforward-viewing system.

In addition, variability in the positioning of the distal tip 142 on theinsertion tube causes the projections originating from the tip to shiftrelative to the FOV. If object distance is computed using absolute phasecombined with position in the FOV, this shift causes error in thecomputed object distance. In this embodiment, such error is eliminatedbecause the absolute phase difference is not affected by positioning ofthe tip on the insertion tube. In an alternative approach, the two LEDarrays may also be located on one side of the viewing optics with alarge grating where the first projection set is offset from the viewingoptics by slightly more than the second projection set.

In some applications, it is desirable to obtain a view in a directionperpendicular to the probe axis, referred to as a side view. To obtainsuch a view, distal tip 142 may be replaced with a detachableside-viewing tip 242 (FIGS. 8 and 9) comprising elements such as aside-view prism 210 through which the plurality of fringe sets reflectedfrom the surface pass through viewing optics 244 to reach the imagesensor (not shown).

FIG. 3 is a flowchart illustrating exemplary ways of testing measurementaccuracy of a remote visual inspection (RVI) system. Briefly, a testobject is placed in the field of view of the RVI system. The test objectincludes a test feature, e.g., a fiducial, having a known geometriccharacteristic. Images of the test object are captured and a geometriccharacteristic of the test feature is measured. The measured coordinatesare compared to the known geometric characteristic to determine anaccuracy value of the RVI system. The steps of this method can beautomatically performed using a controller. Processing begins with step310.

In step 310, attachment of a detachable measurement optical tip to aprobe of the remote visual inspection system is detected. The probe canbe, e.g., a straight-view or side-view tip. In various embodiments, thecontroller receives an interrupt on attachment of the detachablemeasurement optical tip. The controller can also periodically measure anelectrical state of a conductor to detect attachment of the detachablemeasurement optical tip. The controller can detect attachment bymonitoring or polling for either level-triggering signals oredge-triggering signals. After attachment of the detachable measurementoptical tip is detected, step 310 is followed by step 320. In variousembodiments, the probe includes an image sensor (CCD or CMOS). In otherembodiments, the detachable measurement optical tip includes an imagesensor.

In various embodiments, detecting step 310 includes detecting a changein the resistance of a test circuit when the detachable measurementoptical tip is attached. For example, a test voltage can be applied to adetection circuit and a voltage of a test point in the detection circuitcan be measured. The detection circuit is configured so that the voltageof the test point is different when the detachable measurement opticaltip is attached than when the detachable measurement optical tip is notattached. In an example, the test point is pulled up through a resistorto, e.g., +3.3 VDC when the optical tip is not attached, but when theoptical tip is attached it shorts the test point to ground.

In various embodiments, detecting step 310 includes identifying step315. In step 315, an identity of the attached measurement optical tip isdetermined. The measurement optical tip can transmit (via wire orwirelessly) identifying information to the controller, or the controllercan analyze a resistance value or other electrical property at aninterface between the tip and the probe. The identifying information canbe used to select measurement calibration data associated with theattached measurement optical tip.

In step 320, a user is prompted via a user-prompt device (e.g., computermonitor 122, FIG. 1) to perform testing of the measurement accuracy ofthe remote visual inspection system. For example, a “press OK to test”message can be displayed on a screen. Prompting step 320 can includewaiting for a test-start indication from a user-input device, e.g., atouch on a touch sensor operatively arranged with respect to theuser-prompt device. The touch sensor and user-prompt device can togethercompose a touchscreen. The user-input device can also be a button, e.g.,on a keyboard, joystick, mouse, trackball, or RVI-system chassis orhandset.

In some embodiments, step 320 includes guiding step 325. In guiding step325, a motion image from an image sensor in the probe is presented onthe screen. This can be a live video feed from the image sensor, orsuccessively-presented still captures (e.g., one per second) from theimage sensor. Additionally, whether simultaneously or not, a visualrepresentation of an image from an image sensor in a desired orientationwith respect to the test feature is presented on the screen. The desiredorientation can include a desired relative position (translationaldisplacement of the image sensor from the test feature), relativerotation, or both. The visual representation can be, e.g., an image orthumbnail of an image captured when an image sensor was in the desiredorientation with respect to the test feature. The visual representationcan be stored in a nonvolatile memory of the RVI system, e.g., datastorage system 1140 (FIG. 4).

In some embodiments using step 315, guiding step 325 includes selectingthe visual representation using the determined identity. In an example,referring to FIG. 10, the test object is a test block 1010 having thetest feature 1020 and two ports 1011, 1077: port 1011 to insert probescarrying straight-view tips, and port 1077 to insert probes carryingside-view tips. Dotted lines are shown for orientation. Line 1012 showsan example of the orientation of a probe carrying a straight-view tiplooking down on test feature 1020 (the term “down” is not limiting). Ascan be seen, a side-view tip in port 1077 can only view test feature1020 from a limited range of orientations in the plane of test feature1020 (rotation angle θ near 0°; how near can be selected based on thesize of test target 120 and the field of view of the side-view tip).However, a straight-view tip in port 1011 can be turned freely to viewtest feature 1020 from any θ. Because of the characteristics of theparticular tips used, it may be desirable for straight-view tips to viewtest feature 1020 at an angle θ≠0°. Moreover, some side-view tips flipthe image vertically or horizontally. Therefore, the visualrepresentation that will guide the user in turning a probe carrying astraight-view tip to the correct θ will be different from the visualrepresentation that will guide the user in turning a probe carrying aside-view tip to the correct angle φ (rotation around an axisperpendicular to the θ axis; θ≡0° for a side-view tip in this example).

After prompting the user (step 320), in step 330, one or more images ofthe test feature on the test object are captured. This is done using theimage sensor, which captures image data in a way appropriate for theattached measurement optical tip. For example, for stereo, shadow, orlaser-dot tips, a single image can be captured. For phase measurement,multiple images can be captured. Step 330 is followed by step 340.

In various embodiments, the detachable measurement optical tip is astructured-light-measurement optical tip having LEDs and gratings, e.g.,as discussed below with reference to FIGS. 5-7. On other embodiments,the detachable measurement optical tip is a stereo optical tip or ashadow optical tip. Shadow tips can include, e.g., a slit aperturethrough which light shines past an opaque line oriented parallel to theaperture. In embodiments using structured light, the detachablemeasurement optical tip can include a plurality of light-emitting-diodes(LEDs). The tip projects a structured light pattern onto an object inthe field of view of the image sensor when the controller activates anyof the LEDs. Stereo tips can include a beamsplitter, e.g., a prism, thatdirects light from two different viewing angles through a lens onto theimage sensor. Therefore, the captured image includes two separatecaptures side by side, one capture from each of the viewing angles.Further examples of stereo tips are described in U.S. Pat. No. 7,170,677to Bendall et al., incorporated herein by reference. Further examples ofshadow tips are given in U.S. Pat. No. 4,980,763 to Lia, incorporatedherein by reference.

In various embodiments, step 330 (or step 340) includes analyzing atleast one of the captured images to determine an orientation of the testfeature with respect to the image sensor. For example, optical andmechanical tolerances, and variations in the way the user positions thetip with respect to the test feature, can cause the test feature to belocated at different locations in a captured image frame each time atest sequence (starting with step 310) is performed. The captured imagesthemselves can be analyzed by identifying known features (e.g.,orientation marks such as a letter “F”) in the image and determining howthose features are oriented with respect to the image sensor. This canpermit determining whether a straight-view or side-view tip is beingused. (In the example above, θ farther from 0 than the permitted rangeindicates a straight-view tip is in use.) It can also permit making useof captured images at angles different from a selected reference angle.This is useful because users may not always orient the tip at preciselya desired angle before images are captured. When captured images aremodified or otherwise processed, subsequent steps use the modified orprocessed images as the captured images.

In step 340, coordinates of the test feature are determined using atleast some of the captured images. This can be done usingfeature-extraction techniques such as thresholding, high-pass filteringor other edge-detection schemes, region extraction, dialating or erodingimage data, or color extraction. Known colors or the known geometriccharacteristic of the test feature can be sought in the capturedimage(s) under consideration. Any number ≧1 of coordinates can bedetermined. The determined coordinates can be two-dimensional (2-D) orthree-dimensional (3-D) coordinates. Coordinates can be expressed inCartesian, polar, spherical, cylindrical, or homogeneous form. 2-Dcoordinates can be determined by, e.g., inverse projection mapping ofthe image data to an object plane. 3-D coordinates can be determinedusing existing techniques such as stereo, scanning systems, stereotriangulation, structured light methods such as phase shift analysis,phase shift moiré, and laser dot projection. Some of these techniquesuse calibration data that, among other things, includes opticalcharacteristic data that is used to reduce errors in thethree-dimensional coordinates that would otherwise be induced by opticaldistortions. With some techniques, the three-dimensional coordinates maybe determined using one or more images captured in close time proximitythat may include projected patterns and the like. Step 340 is followedby step 350.

In some embodiments, step 350 is preceded by step 319. In step 319,calibration data corresponding to the attached measurement optical tipis automatically retrieved by the controller. The calibration data caninclude information relating sizes of images of objects to sizes ofthose objects, image coordinate frames to object coordinate frames, orbrightness to distance. The calibration data can also includeinformation about the tip, such as dimensions of gratings on astructured-light measurement tip. The calibration data can includeinformation relating magnification to distance or information aboutoptical distortion, structured-light projection geometry, or stereoperspective geometry.

In step 350, a geometric characteristic of the test feature is measuredusing the determined coordinates of the test feature. In an example, thetest feature includes two fiducials and the geometric characteristic isthe distance between them. This distance can be measured by transformingthe determined coordinates of the test feature in image space tophysical dimensions (e.g., mm). The Euclidean distance between thephysical coordinates can then be computed to determine the distance. Inembodiments using step 319, the measuring step is performed using theretrieved calibration data. Step 350 is followed by step 359 or step360.

The measured geometric characteristic can be a length, width, height,depth, or radius of the test feature. The measured geometriccharacteristic can also be a deviation of the test feature from a flatplane or other reference surface. The test feature can include a flatsurface, a sphere or other raised three-dimensional (3-D) surface, or aslot, circular recess, or other recessed 3-D surface.

In various embodiments, the determined coordinates are three-dimensional(3-D) coordinates. The known geometric characteristic includes 3-Dcoordinates of a plurality of reference points, and the measuredgeometric characteristic includes a distance metric between at leastsome of the determined coordinates and the reference points. In variousembodiments, step 350 includes measuring 3-D object coordinates of aplurality of points on the test feature. The 3-D object coordinates arethen transformed via a coordinate transform to a coordinate frame of thereference points. For example, structured-light, stereo, and shadowmeasurement optical tips can be used to capture images the controllercan post-process into three-dimensional data. The 3-D object coordinatescan be extracted from these data in a frame relative to the probe. Theycan then be transformed into a frame relative to the reference points,e.g., relative to the test feature.

In various embodiments, the distance metric is a quadratic mean (RMS),sum of squares, mean of squares, or average of respective distancesbetween at least some of the determined coordinates and correspondingones of the reference points. In an example, let the i^(th) determinedcoordinate (x_(i), y_(i), z_(i)) be represented as a vector {right arrowover (k)}_(i)=[x_(i) y_(i) z_(i)], and the i^(th) measured pointlikewise be {right arrow over (m)}_(i), iε[1, n]. The measured geometriccharacteristic c_(mg) can be the root-mean-square (RMS) expression

$c_{mg} = {\sqrt{\frac{1}{n}{\sum\limits_{i = 1}^{n}\;\left( {{{\overset{->}{m}}_{i} - {\overset{->}{k}}_{i}}}^{2} \right)}}.}$This represents the overall difference between the known points and themeasured points with a single value that can be tested in step 370.

In another example, in step 350, one or more value(s) representative ofthe measured geometric characteristic are provided. In this example, theknown geometric characteristic includes one or more value(s)representative of the test feature. In this way, the value(s)representative of the test feature can be used instead of the measureddata of the test feature itself. In an example, the test feature is ahalf-sphere, and two values representative thereof are the maximumwidths of the half-sphere along two mutually-perpendicular axes (e.g.,axes parallel to θ=0°, θ=90° in FIG. 10). These values should be equalwithin the manufacturing tolerances of the test feature. The extent towhich the values differ beyond those tolerances is therefore anindication of the inaccuracy of the measurement. The two values can becompared to a known value of the width to determine inaccuracies inscale measurement (e.g., both values being about twice as large as theknown value indicates a 2× magnification error) and to determineinaccuracies in measurements in one direction compared to measurementsin another direction.

In another example, in 3-D, the known geometric characteristic is theflatness of the test feature. The test feature can be designed to beplanar, within manufacturing tolerances, and the flatness can be thespacing between two parallel planes between which the test feature lies.The measured geometric characteristic is the corresponding spacing forthe measured coordinates, and can be determined by, e.g., fitting aplane to the measured points and determining the distance along thenormal to the plane between the two points farthest from the plane inthe direction of that normal. The fitting can be done by least-squaresor minimax optimization, or other mathematical optimization techniques.

In various embodiments, the known geometric characteristic is aplurality of regions and corresponding flatnesses. For example, therequirements for flatness of measured data of a known-flat surface canbe more stringent at the center of the field of view than at an edge.Other known geometric characteristics described herein can also varyfrom center to edge, or from point to point or area to area of acaptured image or of the test object itself. The known geometriccharacteristic can correspond to manufacturing tolerances of the testobject.

In step 359, an accuracy result is determined using the measuredgeometric characteristic and the known geometric characteristic. Thiscan be done, e.g., as described below with reference to step 360. Theaccuracy result is correlated with the measurement accuracy of theremote visual inspection system. In an example,determining-accuracy-result step 359 includes computing the accuracyresult as a difference between the measured geometric characteristicfrom step 350 and the known geometric characteristic of the testfeature. Step 359 can be followed by step 380 or step 360.

In step 360, in various embodiments, an accuracy value is determinedbased on the difference between the measured geometric characteristicand the known geometric characteristic of the test feature. Thisaccuracy value is provided using the measurements taken in step 350,which can themselves be computations based on captured image data.Continuing the fiducial-distance example above, the accuracy value canbe the result of subtracting or dividing the known distance between thefiducials (e.g., 3 mm) and the measured distance between the fiducials(e.g., 3.14 mm), in either order. The accuracy value can be expressed inphysical units, image-sensor units, percentages, standard deviations, orother appropriate measurement bases. Step 360 is followed by step 370.

In step 370, the determined accuracy value is compared to apredetermined acceptable accuracy value. For example, the determinedaccuracy value can be the ratio of measured characteristic to knowncharacteristic and the predetermined acceptable accuracy value can be apercentage band, e.g., 100±20%. The determined accuracy value a can bethe difference |measured-known|, as described above, and thepredetermined acceptable accuracy value can be a difference threshold ksuch that a≦k (i.e., the computed difference(s) are less than thepredetermined acceptable accuracy value) or 0≦a≦k. Continuing thedistance-metric example above, the known geometric characteristic c_(mg)takes into account the reference points and the measured points, so thec_(mg) value does not need to be compared to a separate known value.Therefore, the comparison of determined accuracy value c_(mg) to thepredetermined acceptable accuracy value k can thus include determiningwhether 0≦c_(mg)≦k. A result of the comparison is provided as theaccuracy result (discussed above with reference to step 359). Step 370is followed by step 380.

In examples given above using value(s) representative of the geometriccharacteristics, step 360 includes computing difference(s) between theone or more value(s) representative of the measured geometriccharacteristic and the one or more value(s) of the known geometriccharacteristic. If more than one value is used, the difference can be asingle difference computed from a plurality of (measured-value,known-value) pairs, or a plurality of differences between respective(measured-value, known-value) pairs. Step 370 can then includedetermining whether the computed difference(s) are within a selectedpercentage or dimensional amount of the predetermined acceptableaccuracy value (e.g., a difference of 0±5%, or 0+5% -−0%).

In step 380, an indication is provided of the determined accuracyresult, e.g., of the difference described above (step 359) or of aresult of the comparison described above (step 370). For example, theindication can be a flag set or cleared in a memory operativelyconnected to the controller. The indication can also be a signalproduced or not produced, or produced at a particular value or level,according to the result of the comparison. The indication can also be avisual, auditory, tactile, haptic, olfactory, or gustatory stimuluspresented to the user, e.g., via a user-output device (e.g., computermonitor 122, FIG. 1). An example, using the user-prompt device as theuser-output device, is a message displayed on the screen that either“measurement is within specification” or “measurement is not withinspecification.” In some embodiments, the indication is provided only onsuccess (determined accuracy is within acceptable accuracy limits) orfailure. Specifically, in some embodiments, the indication is presentedonly if comparing step 370 determines the measured accuracy value doesnot provide at least the predetermined acceptable accuracy. In someembodiments, step 370 or step 380 is followed by step 390.

In various embodiments, in step 390, after comparing step 370, thecontroller automatically activates at least one LED on the measurementoptical tip at a selected drive current and captures an image using theimage sensor. In some of these embodiments, capturing step 330 includespassing a selected test current through the at least one of the LEDs onthe measurement optical tip. The selected test current is greater thanthe selected drive current. This can provide improved signal-to-noiseratio for images captured to test measurement accuracy withoutaccelerating the burnout of the LEDs during normal operation.

In various examples, an identity of the attached measurement optical tipis determined, e.g., as discussed above with reference to step 315. Thedetermined identity and the determined accuracy result are stored, e.g.,in a database, file, or other data store. Detecting-attachment step 310,user-prompting step 320, image-capturing step 330,coordinate-determining step 340, characteristic-determining step 350,accuracy-result-determining step 359, identity-determining step 315, andthe storing step are then repeated one or more times. This builds up ahistory in the data store of the tips that have been used, e.g., with aparticular remote visual inspection system. The history can then bepresented to a user. Trends can also be determined, and deviations fromthose trends presented to a user. This can permit, e.g., providing theuser an indication that a tip may be approaching a point at which itwill require maintenance. Using the data store, the characteristics ofone or more tips can be tracked for diagnostic or prognostic purposes.In various aspects, the storing step (not shown) includes storing adetermined serial number or other identity value of the tip, the date onwhich measurements were taken (e.g., in step 330), measured values suchas the determined geometric characteristic, or the determined accuracyresult (e.g., from step 359) or accuracy value (e.g., from step 360).The data store can be internal, e.g., on an internal Flash memory, orexternal, e.g., on a USB drive or SD card. Data can be imported to orexported from the data store, e.g., via a network or USB connection.Data from the same tip used on different borescopes can be combined todetermine whether the tip or the borescope may need repair.

FIG. 5 is top view of an exemplary light-emitting diode (LED) array on alight emitter module made using elongated die. This array can be used,e.g., for performing phase measurements. Further details of this arrayare described in the above-referenced U.S. Publication No. 2011/0205552.Line grating 90 (FIG. 6) has a grating period p. Each light emitter 81has a width less than ⅓ of the grating period p, and each light emitter81 is lined up adjacent to each other with a center-to-center spacing ofp/3. In this configuration, the line pattern projected when one lightemitter 81 is emitting has a spatial or phase-shift of approximately ⅓of the line period or 120° relative to the line pattern projected whenthe adjacent light emitter 81 is emitting. Exemplary emitting areadimensions for each light emitter 81 used with an 8 cycle/mm gratingperiod p may be 35 μm×500 μm.

Alternatively, an effective phase-shift of 120° can be achieved withconfigurations in which the light emitter 81 spacing is other than ⅓ ofthe grating period. For example, with a light emitter 81 spacing of ⅔ ofthe grating period, the light pattern projected when one light emitter81 is emitting may have a phase-shift of 240° relative to the linepattern projected when the adjacent light emitter 81 is emitting. Inthis configuration, each light emitter 81 has width less than ⅔ of thegrating period p, and each light emitter 81 is lined up adjacent to eachother with a center-to-center spacing of 2p/3. Because multiple linesare projected each having a 0 to 360° phase range, the 240° phase-shiftis equivalent to a 120° phase-shift. To generalize, by positioning lightemitters 81 with a center-to-center spacing of approximately p/3 of thegrating period where p is an integer that is not a multiple of 3, thelight pattern projected when one light emitter 81 is emitting may havean effective phase-shift of approximately 120° relative to the linepattern projected when the adjacent light emitter 81 is emitting.

Multiple light emitters 81 are spaced apart by one grating period tocreate three separate light emitter groups. For clarification only, thelight emitters 81 that comprise each of the three light emitter groupsin FIG. 2 are indicated with a different pattern. LED array 80 comprisesindividual light emitters 81 of the same color. However, the color oflight emitters 81 comprising one light emitter group can differ from thecolor of the light emitters 81 comprising other light emitter groups.

A plurality of light emitters 81 comprising each light emitter group arespaced apart along the axis perpendicular to the light emitters 81 andto the lines on the line grating by a distance approximately equal to aninteger number of periods of the line grating. As a result, when theplurality of light emitters 81 comprising one light emitter group aresimultaneously emitting light, the structured-light patterns produced byeach of the multiple light emitters 81 sum together. This forms abrighter line pattern than would be generated by a single light emitterelement. Increasing the light emitter width can increase brightness, butthe line grating period must increase proportionally causingproportionally higher sensitivity to image noise. By using a pluralityof narrow light emitters 81 as described, the pattern brightness can beincreased without increasing the line grating period.

Referring to FIG. 5 and also to FIG. 1, emitter drive 32 comprises abrightness or fringe contrast determining function 39 to determinewhether one light emitter 81 or multiple light emitters 81 should beenabled for each light emitter group. Because the light from the lightemitters 81 is not collimated, the projected fringe sets expand asdistance from the line grating increases. When multiple light emitters81 of a light emitter group are simultaneously emitting, the individualfringe sets are offset by a constant distance (one grating period p asshown in the exemplary cases of FIGS. 5 and 6) rather than a constantphase, so their phases become more aligned as they expand. This resultsin progressively higher contrast as distance from the grating increases.Thus, when measuring a surface where more intensity is needed to achievelow image noise, multiple light emitters 81 from the same fringe set canbe simultaneously turned on to provide more brightness at high contrast.However, at close distances, the sinusoidal intensities are not phasealigned and fringe set contrast decreases. Also, less intensity isneeded at close distances; so when viewing a closer surface, one lightemitter 81 can be turned on to achieve adequate intensity and highcontrast.

Depending on the evaluation from brightness or fringe contrastdetermining function 39, one light emitter 81 or multiple light emitters81 in each light emitter group are enabled for each fringe set. In oneembodiment, drive conductor 35 comprises one or more drive wires (notshown) per LED. Brightness or fringe contrast determining function 39selectively transmits current through specific drive wires of driveconductor 35 to light an appropriate number of LEDs per fringe set.

Alternatively, brightness or fringe contrast determining function 39 canbe located separately from emitter drive 32 and may comprise, forexample, an analog detection circuit or video processor. With thatassembly, one drive wire of drive conductor 35 connects emitter drive 32to light emitter module 37, and one or more control wires (not shown)controlled by brightness or fringe contrast determining function 39 arealso connected to light emitter module 37. A circuit (not shown)included on light emitter module 37 can selectively connect one ormultiple LEDs to the drive wire in response to signals on the controlwire(s).

Through the use of multiple light emitters 81 per fringe set andbrightness or fringe contrast determining function 39, LED array 80offers adequate brightness and contrast during image capture andmeasurement. LED array 80 also offers consistent, uniform illumination,no speckling, and fast switching between fringe sets. Fast switchingallows fringe set images to be captured in sequential frames, whichreduces the likelihood of motion between image capture times. For atleast these reasons, LED arrays are practical in this configuration.However, any light emitting source(s) offering the qualities mentionedabove are sufficient for use in probe or system 100. Other such lightsources include, but are not limited to, organic LEDs, plasma elements,fiber coupled lasers, and laser arrays.

In another embodiment, LED array 80 is made using multiple series LEDsthat comprise one light emitter 81 of a light emitter group. A lightemitter 81 in this configuration may also be referred to as a string.Each light emitter or string 83 can comprise, e.g., 4 LEDs connected inseries. Each light emitter or string 83 can be offset by approximatelyp/3 periods, where p is an integer that is not a multiple of 3. Each ofthe plurality of light emitters 81 may comprise a series string of atleast two LEDs. For example, three strings can be used comprising fourLEDs each, each string comprising its own light emitter group. However,a light emitter group may comprise a plurality of light emitters 81 orstrings as well.

LED output is typically proportional to drive current. But, supplyinghigh currents to distally-located LEDs using small wires is highlyinefficient. By using multiple LEDs connected in series to comprise onelight emitter or string 83, less current is required to achieve a givencombined LED output level. For example, series strings of 4 LEDs asshown in FIG. 4 can achieve the same output as single LEDs using ¼^(th)of the current.

FIG. 6 is a top view of an exemplary intensity modulating elementincluding a line grating. This element can be used for performing phasemeasurements. In at least one embodiment, the at least one intensitymodulating element 38 comprises line grating 90. In addition, the atleast one light emitter module comprises a plurality of light emitters.The at least one light emitter module can include LEDs or an LED array.

A fringe set comprises a structured-light pattern projected when onelight emitter group of at least one of the plurality of light emittersis emitting light. The plurality of light emitters of light emittermodule 37 are positioned such that the structured-light patternprojected when one group of at least one light emitter is emittingexhibits a spatial or phase-shift relative to the structured-lightpatterns projected when other groups of at least one light emitter areemitting. In other words, the structured-light pattern of one fringe setexhibits a spatial or phase-shift relative to the structured-lightpatterns of other fringe sets.

FIG. 7 is an exemplary image of a structured light pattern created bypassing light through an intensity modulating element. Astructured-light pattern 400 is created on the surface of an object inthe field of view of the image sensor, e.g., a test object, by passinglight through at least one intensity-modulating element 38 (FIG. 1),e.g., line grating 90 (FIG. 6), which alters the distribution of light.The structured-light pattern 400 can comprise parallel light lines anddark lines comprising a sinusoidal intensity profile in the directionperpendicular to the lines (e.g., left to right across FIG. 7). In thisexample, the centers of the light lines have high luminance values andthe centers of the dark lines have low or no luminance. The dark linesof the structured light pattern 400 and the zero luminance values of thesinusoidal intensity profile can be formed by the columns of gratingelements in line grating 90. The grating period (p) is shown as thedistance from the center of one light line to the center of the nextlight line. It will be understood that the grating period can be definedto start (and end) at various points along the sinusoidal intensityprofile.

In one embodiment, the length of the grating period (p) (e.g., 0.125 mm(0.0049 in.)) of the first sinusoidal pattern on the intensitymodulating element can be at least two times the width of the lightemitters 81 (FIG. 5) (e.g., 0.05 mm (0.00197 in.)) to provide effectivecontrast while providing a reasonable number of light and dark lines inthe captured images. Reducing the length of the grating period (p)increases the number of light and dark lines and decreases the contrastof the image for a given light emitter 81 width. In one embodiment, theamplitude of the first sinusoidal pattern can be much smaller (e.g., atleast five times smaller) than the length of the light emitters 81 sothat the amplitude of the individual sinusoids (0.015 mm (0.00118 in.)in the projected pattern is relatively small, minimizing degradation ofthe sinusoidal intensity profile, but is large enough to achieve goodcontrast with manufacturable feature sizes (e.g., greater than 0.001 mm(0.0000394 in.)). Higher pattern contrast can provide lower noise thanlower pattern contrast. In one embodiment, the intensity modulatingelements can have approximately 15 columns and approximately 100 rows ofgrating elements.

In one embodiment, the substrate of the intensity modulating elementscan be made of sapphire for durability. In one embodiment, gratingelements are formed by photolithography on the intensity modulatingelements using a coating that is highly absorptive of the wavelengthsemitted by the light emitters 81 in order to minimize reflections. Forexample, if the light emitters 81 are emitting a red wavelength, a bluechrome that is highly absorptive (e.g., less than five percentreflectance at 750 nm) of the red wavelength can be used for the gratingelements. It will be understood that other coatings and colors can beused to provide high absorption of the wavelengths emitted by the lightemitters 81 (e.g., black anodized). In one embodiment, the gratingelements can be applied only on the front side (i.e., side of theintensity modulating element facing the light emitters 81), to avoidscratching or damage to the grating elements if located on the exposedback side of the intensity modulating element. In another embodiment,the grating elements can be applied on only the back side of theintensity modulating element, while in yet another embodiment, thegrating elements can be applied to both the front side and the back sideof the intensity modulating element. In one embodiment, ananti-reflective coating can be applied on top of the grating elements.

It will be understood that grating elements with non-sinusoidal patternsthat approximate a sinusoidal pattern (e.g., a triangle pattern, ahexagon pattern) can also be used to produce a near sinusoidal intensityprofile that can be compensated for during phase-shift analysis by thesoftware.

FIG. 8A is a perspective, and FIG. 8B a perspective and cross-section,of an exemplary test feature. In this example, the test feature 4 is agroove in a test object 2. The known geometric characteristic isdistance 810, which is the depth of the test feature 4. The measuredgeometric characteristic is the distance 820 between point 15 andreference surface 20. In an ideal (perfectly-manufactured) system,distances 810 and 820 are equal. Differences between distance 810 anddistance 820 beyond manufacturing tolerances can indicate the conditionof the measurement system. The location and orientation of point 15 andreference surface 20 are measured from the coordinates determined fromthe image data. In this example, the coordinates are three-dimensional.

First surface point 11 (e.g., a start surface point), second surfacepoint 12 (e.g., a stop surface point), and third surface point 813 areautomatically selected on the surface 10 of the test object 2. Automaticselection can be part of step 350 (FIG. 3). The automatic selection canbe performed, e.g., by locating three fiducials in the image data andselecting coordinates (from step 340, FIG. 3) from each as the threepoints 11, 12, 813. In one embodiment, the first surface point 11 can beselected on one side (e.g. the left side) of the test feature 4 to bemeasured, while the second surface point 12 can be selected on the otherside (e.g., the right side) of the test feature 4 to be measured.

Continuing step 350 (FIG. 3), in these embodiments reference surface 20is determined based on the three-dimensional coordinates of the firstsurface point 11 and the second surface point 12. In this example, thereference surface 20 is flat, while in other embodiments the referencesurface 20 can be curved. Similarly, in one embodiment, the referencesurface 20 can be in the form of a plane, while in other embodiments,the reference surface 20 can be in the form of a different shape (e.g.,cylinder, sphere, etc.). The controller can perform a surface fitting ofthe three-dimensional coordinates of the first surface point 11, thesecond surface point 12, and the third surface point 813 to determine areference surface equation (e.g., for a plane) having the followingform:k _(0RS) +k _(1RS) ·x _(iRS) +k _(2RS) ·y _(iRS) =z _(iRS)  (13)where (x_(iRS), y_(iRS), z_(iRS)) are the coordinates of the surfacepoints and k_(0RS), k_(1RS), and k_(2RS) are coefficients obtained by acurve fitting of the three-dimensional coordinates. More than threepoints can be used. For example, the reference surface 20 can be basedon, e.g., determined by surface-fitting to, the three-dimensionalcoordinates of a first plurality 13 of points on the surface 10(x_(iASP), y_(iASP), z_(iASP)) and the three-dimensional coordinates ofa second plurality 14 of points on the surface 10 (x_(iBSP), y_(iBSP),z_(iBSP)), and optionally at least one other point spaced apart frompluralities 13, 14.

It should be noted that a plurality of points (i.e., at least as manypoints as the number of k coefficients) are used to perform the fitting.The fitting finds the k coefficients that give the best fit to thepoints used (e.g., least squares approach). The k coefficients thendefine the plane or other reference surface 20 that approximates thethree-dimensional points used. However, when you insert the x and ycoordinates of the points used into the plane equation (13), the zresults will generally not exactly match the z coordinates of the pointsdue to noise and any deviation from a plane that may actually exist.Thus, the x_(iRS) and y_(iRS) can be any arbitrary values, and theresulting z_(iRS) tells you the z of the defined plane at x_(iRS),y_(iRS). Accordingly, coordinates shown in these equations can be forarbitrary points exactly on the defined surface, not necessarily thepoints used in the fitting to determine the k coefficients.

In various embodiments, the controller can determine thethree-dimensional coordinates of a first reference surface point 21 onthe reference surface 20 corresponding to the first surface point 11 onthe surface 10 and a second reference surface point 22 on the referencesurface 20 corresponding to the second reference surface point 12 on thesurface 10. In some circumstances, the three-dimensional coordinates ofthe first reference surface point 21 and the first surface point 11 canbe the same. Similarly, the three-dimensional coordinates of the secondreference surface point 22 and the second surface point 12 can be thesame. However, in some circumstances, due to noise or small variationsin the surface 10, the first surface point 11 and the second surfacepoint 12 do not fall exactly on the reference surface 20, and thereforehave different coordinates.

When determining points on the reference surface 20 that correspond topoints on the surface 10, it is convenient to apply the concept of linedirections, which convey the relative slopes of lines in the x, y, and zplanes, and can be used to establish perpendicular or parallel lines.For a given line passing through two three-dimensional coordinates (x0,y0, z0) and (x1, y1, z1), the line directions (dx, dy, dz) may bedefined as:dx=x1−x0  (14)dy=y1−y0  (15)dz=z1−z0  (16)

Given a point on a line (x0, y0, z0) and the line's directions (dx, dy,dz), the line can be defined by:

$\begin{matrix}{\frac{\left( {x - {x\; 0}} \right)}{dx} = {\frac{\left( {y - {y\; 0}} \right)}{dy} = \frac{\left( {z - {z\; 0}} \right)}{dz}}} & (17)\end{matrix}$

Thus, given any one of an x, y, or z coordinate, the remaining two canbe computed. Parallel lines have the same or linearly scaled linedirections. Two lines having directions (dx0, dy0, dz0) and (dx1, dy1,dz1) are perpendicular if:dx0·dx1+dy0·dy1+dz0·dz1=0  (18)

The directions for all lines normal to a reference plane defined usingequation (13) are given by:dx _(RSN) =−k _(1RS)  (19)dy _(RSN) =−k _(2RS)  (20)dz _(RSN)=1  (21)

Based on equations (17) and (19) through (21), a line that isperpendicular to a reference surface 20 and passing through a surfacepoint (x_(S), y_(S), z_(S)) can be defined as:

$\begin{matrix}{\frac{x - x_{S}}{- k_{1{RS}}} = {\frac{y - y_{S}}{- k_{2{RS}}} = {z - z_{S}}}} & (22)\end{matrix}$

In one embodiment, the coordinates of a point on the reference surface20 (x_(iRS), y_(iRS), z_(iRS)) that corresponds to a point on thesurface 10 (x_(iS), y_(iS), z_(iS)) (e.g. three-dimensional coordinatesa first reference surface point 21 on the reference surface 20corresponding to the first surface point 11 on the surface 10), can bedetermined by defining a line normal to the reference plane havingdirections given in (19)-(21) and passing through (x_(iS), y_(iS),z_(iS)), and determining the coordinates of the intersection of thatline with the reference plane. Thus, from equations (13) and (22):

$\begin{matrix}{z_{iRS} = \frac{\left( {{k_{1{RS}}^{2} \cdot z_{iS}} + {k_{1{RS}} \cdot x_{iS}} + {k_{2{RS}}^{2} \cdot z_{iS}} + {k_{2{RS}} \cdot y_{iS}} + k_{ORS}} \right.}{\left( {1 + k_{1{RS}}^{2} + k_{2{RS}}^{2}} \right)}} & (23)\end{matrix}$X _(iRS) =k _(1RS)·(z _(iS) −z _(iRS))+x _(iS)  (24)y _(iRS) =k _(2RS)·(z _(iS) −z _(iRS))+y_(iS)  (25)

In one embodiment, these steps (equations (14) through (25)) can be usedto determine the three-dimensional coordinates of a first referencesurface point 21 (x_(ARS), y_(ARS), z_(ARS)) on the reference surface 20corresponding to the first surface point 11 (x_(AS), y_(AS), z_(AS)) onthe surface 10 and a second reference surface point 22 (x_(BRS),Y_(BRS), z_(BRS)) on the reference surface 20 corresponding to thesecond reference surface point 12 (x_(BS), y_(BS), z_(BS)) on thesurface 10.

The controller can also determine the three-dimensional coordinates of areference surface line 29 on the reference surface 20 from the firstreference surface point 21 to the second reference surface point 22.There are several methods of determining the three-dimensionalcoordinates of a reference surface line 29. In one embodiment where thereference surface 20 is a plane, the three-dimensional coordinates of areference surface line point 28 (x_(RSL), Y_(RSL), z_(RSL)) on thereference surface line 29 can be determined based on thethree-dimensional coordinates of the first reference surface point 21(x_(ARS), y_(ARS), z_(ARS)) and the second reference surface point 22(x_(BRS), Y_(BRS), z_(BRS)) using the following relationship, whereknowledge of one of the coordinates of the reference surface line point28 (x_(RSL) or y_(RSL) or z_(RSL)) can be used to determine the othertwo:

$\begin{matrix}{\frac{x_{RSL} - x_{ARS}}{x_{BRS} - x_{ARS}} = {\frac{y_{RSL} - y_{ARS}}{y_{BRS} - y_{ARS}} = \frac{z_{RSL} - z_{ARS}}{z_{BRS} - z_{ARS}}}} & (26)\end{matrix}$

Once the three-dimensional coordinates of the reference surface linepoints 28 (x_(iRSL), y_(iRSL), z_(iRSL)) on reference surface line 29are determined, the controller can determine the three-dimensionalcoordinates of a surface contour 19 that is the projection of thereference surface line 29 onto the surface 10 of the test object 2,perpendicular to the reference surface 29. as shown, the surface contour19 is not necessarily a straight line. Reference surface line 29 andsurface contour 19 can extend between two of the points used todetermine reference surface 20, or one of those points and another pointon reference surface 20, or two other points on reference surface 20.

The controller can determine the distance of lines 26 from the referencesurface line 29 to a plurality of reference surface points 25 (x_(iRS),y_(iRS), z_(iRS)) on the reference surface 20 where surface-to-referencesurface lines 16 extending from a plurality of surface points 15(x_(iS), y_(iS), z_(iS)) on the surface 10 are perpendicular to thereference surface 20 and intersect the reference surface 20. Thecontroller can automatically select the surface points 15 from the 3-Dcoordinates determined in step 340. For example, the test feature 4 canbe identified by a fiducial, and the controller can select points withina predetermined distance of the fiducial as surface points 15.Alternatively, having determined reference surface 20, the controllercan select as surface points 15 points that are more than a preselecteddistance from reference surface 20. The predetermined distance or thepreselected distance can be included in the known geometriccharacteristic.

In one embodiment, for each of the plurality of surface points 15(x_(iS), y_(iS), z_(iS)), equations (14) through (25) can be used todetermine the three-dimensional coordinates of the reference surfacepoints 25 (x_(iRS), y_(iRS), z_(iRS)) on the reference surface 20corresponding to the surface points 15 (x_(iS), y_(iS), z_(iS)) on thesurface 10 (e.g., for each, the reference surface point 25 where asurface-to-reference surface line 16 extending from the surface points15 is perpendicular to the reference surface 20 and intersects thereference surface 20. The length of surface-to-reference-surface line 16is distance 820, which is the measured geometric characteristic.

In one embodiment, once the three-dimensional coordinates of thereference surface points 25 (x_(iRS), y_(iRS), z_(iRS)) are determined,the controller can determine the distances of lines 26 extending in thereference surface 20 from the reference surface points 25 that areperpendicular to the reference surface line 29 and intersect thereference surface line 29 at reference surface line intersection points27 (x_(iRSLI), y_(iRSLI), z_(iRSLI)). The three-dimensional coordinatesof the reference surface line intersection points 27 can be determinedby the following steps:dx=x _(BRS) −x _(ARS)  (27)dy=y _(BRS) −y _(ARS)  (28)dz=z _(BRS) −z _(ARS)  (29)

$\begin{matrix}{z_{iRSLI} = \frac{\left( {{{dx} \cdot \left( {{{dz} \cdot \left( {x_{iRS} - x_{BRS}} \right)} + {{dx} \cdot z_{BRS}}} \right)} + {{dy} \cdot \left( {{{dz} \cdot \left( {y_{iRS} - y_{BRS}} \right)} + {{dy} \cdot z_{BRS}}} \right)} + {{dz} \cdot {dz} \cdot z_{iRS}}} \right)}{\left( {{dx}^{2} + {dy}^{2} + {dz}^{2}} \right)}} & (30) \\{y_{iRLSI} = \frac{{dy} \cdot \left( {z_{iRLSI} - z_{BRS}} \right)}{{dz} + y_{BRS}}} & (31) \\{x_{iRLSI} = \frac{{dx} \cdot \left( {y_{iRLSI} - y_{BRS}} \right)}{{dy} + x_{BRS}}} & (32)\end{matrix}$

In one embodiment, once the three-dimensional coordinates of thereference surface point intersection points 27 (x_(iRSLI), y_(iRSLI),z_(iRSLI)) corresponding to reference surface points 25 (x_(iRS),y_(iRS), z_(iRS)) are determined, the distance (d₂₆) of the line 26between those points can be determined using the following:

$\begin{matrix}{d_{i\; 26} = \sqrt{\left( {x_{iRS} - x_{iRSLI}} \right)^{2} + \left( {y_{iRS} - y_{iRSLI}} \right)^{2} + \left( {z_{iRS} - z_{iRSLI}} \right)^{2}}} & (33)\end{matrix}$

In one embodiment, this form of equation (33) can be used to determinethe distance of a line between any two points on the reference surface20 whose coordinates (x, y, z) are known (e.g., the distance (d₁₆) ofsurface-to-reference surface line 16 from a surface point 15 to areference surface point 25, the distance (d₂₃) of the line 23 from areference surface point intersection point 27 to the first referencesurface point 21, etc.).

The controller can determine the three-dimensional coordinates of asurface contour 19 on the surface 10 from the first reference surfacepoint 21 to the second reference surface point 22 based on the surfacepoints 15 whose perpendicular surface-to-reference surface lines 16intersect the reference surface 20 on, or within a predetermineddistance from, the reference surface line 29. For example, if thedistance of line 26 for a particular reference surface point 25 isgreater than a threshold value, that is an indication that the surfacepoint 15 (x_(S), y_(S), z_(S)) corresponding to that reference surfacepoint 25 is far from the desired surface contour 19 that is theprojection of the reference surface line 29 onto the surface 10 of thetest object 2, perpendicular to the reference surface 29. On the otherhand, if the distance of the line 26 for a particular reference surfacepoint 25 is zero or less than a threshold value, that is an indicationthat the surface point 15 (x_(S), y_(S), z_(S)) is on or near thedesired surface contour 19 that is the projection of the referencesurface line 29 onto the surface 10 of the test object 2, perpendicularto the reference surface 29.

In one embodiment, the controller can select from the surface points 15the set of surface contour points 18 (x_(iSCL), y_(iSCL), z_(iSCL))whose corresponding reference surface points 25 have lines 26 withdistances ((d₂₆) given by equation (33)) that are less than a thresholdvalue that can form the surface contour 19. The controller can displayan overlay on the image of the surface 10 indicating the location of thesurface contour 19 on the surface.

The controller can determine the profile of the surface 10 of the testobject 2 by determining the distance (e.g., the perpendicular distance)from the reference surface 20 to the surface contour 19 from the firstreference surface point 21 (x_(ARS), y_(ARS), z_(ARS)) to the secondreference surface point 22 (x_(BRS), y_(BRS), z_(BRS)). In oneembodiment, the controller can automatically determine and display thearea of a space 843 between the reference surface 20 and the surfacecontour 19. The area can be determined by dividing the space 843 betweenthe reference surface line 29 and the surface contour 19 into aplurality of polygons, such as rectangles, and summing the areas ofthose polygons. The controller can also automatically determine anddisplay the distance from the reference surface 20 to the point on thesurface contour 19 that is the furthest from the reference surface 20 toindicate the deepest or highest point in the test feature 4. In oneembodiment, the distance or area between the reference surface 20 andthe surface contour 19 can be the distance or area between the referencesurface line 29 and the surface contour 19.

In one embodiment, the controller can display a graphical representation(not shown) of the profile of the surface 10 comprising a cross-sectionof the test object 2 at the surface contour 19 from the first referencesurface point 21 to the second reference surface point 22. The referencesurface line 29 may not be shown in some embodiments. The graphicalrepresentation can also have a scale indicating the distance from thereference surface 20 to the surface contour 19. This graphicalrepresentation can also be accompanied by a thumbnail of the image ofthe surface 10 of the test object 2, also showing the reference surfaceline 29.

Returning to FIG. 6, in one embodiment, the graphical representation ofthe profile of the surface 10 can include a plot of the distances fromthe surface contour points 18 on the surface contour 19 to the referencesurface 20. In one embodiment, the reference surface line 29 can bedivided into equally spaced reference surface line points 28, eachcorresponding to an x-value of the graphical representation. For eachreference surface line point 28, the distance from the surface contour19 to the reference surface 20 can be determined by selecting thesurface contour points 18 whose corresponding reference surface points25 are within a certain threshold distance from the reference surfaceline point 28, and determining the weighted average of the distance fromthose selected surface contour points 18 to the reference surface linepoint 28. The weight assigned to the distance of each selected surfacecontour points 18 can be inversely proportional to the distance from thereference surface point 25 corresponding to that surface contour point18 to the reference surface line point 28 (i.e., the smaller thedistance, the greater the weight).

In various embodiments, the three-dimensional coordinates of at leastthree surface points 11, 12, 813 can be used to determine the referencesurface 20 (e.g., a plane). In one embodiment and for improved accuracy,the controller can use the three-dimensional coordinates of all of thesurface points on test object 2 to determine the reference surface 20.Moreover, three-dimensional coordinates of at least three other surfacepoints can be used to determine a second reference surface (e.g., aplane) for a second portion of test object 2. Any number of planes orreference surfaces can be determined for a given test feature 4, or formultiple test features on test object 2. The known geometriccharacteristic can include data indicating how many reference surfacesto fit, where to position those surfaces with respect to fiducials orother features of the test object, and for using in computing whichmeasured geometric characteristics.

FIG. 9 is a plan view of an exemplary test feature. Test feature 910 isa substantially planar surface of test object 900, marked with orotherwise carrying at least two fiducials 921, 922. Fiducials 921, 922are arranged to be detectable by an image sensor in the probe. Forexample, if the image sensor is adapted to detect visible light,fiducials 921, 922 are formed to reflect or absorb visible lightdifferently than surround 915. The controller can detect the fiducialsin the image by image-processing techniques that differentiate fiducials921, 922, 923 (e.g., black ink) from surround 915 (e.g., a whitesurface) as discussed above. The test feature can have a matte or glossysurface, or a combination. In an example, fiducials 921, 922, 923 andsurround 915 have a matte finish.

In various embodiments, test feature 910 further includes third fiducial923, also formed to be detectable by an image sensor in the probe.Fiducials 921, 922, 923 can have the same shape, or different shapes, ortwo can have the same shape and one can have a different shape. Thefiducials can be distinguishable from each other by the way they arearranged. In this example, they are arranged so that the three pairwisedistances between them are different. The fiducials can also bedistinguishable from each other by their shapes, colors, or otherproperties that are detectable by the image sensor or that can bedetermined by processing data from the image sensor. In this example,fiducial 921 is distinguishable from fiducials 922 and 923 by shape, andfiducials 922 and 923 are distinguishable from each other by theirrespective separations from fiducial 921. Whether or not the fiducialsare distinguishable, measuring step 350 (FIG. 3) can include determininga first distance 931 between the first fiducial 921 and the secondfiducial 922, and a second distance 932 between the second fiducial 922and the third fiducial 923. If the fiducials are not distinguishable(e.g., are at the corners of an equilateral triangle and are identical),the choice of which fiducial is first, second, and third can be madearbitrarily or using a random- or pseudorandom-number generator.

In this example, test feature 910 also includes labels 941, 942indicating to a human (or a computer with optical character recognitiontechnology) the first distance between fiducials 921 and 922, and thesecond distance between fiducials 922 and 923, respectively. Theselabels provide a sense of scale, e.g., when the user is viewing a guideimage (step 325, FIG. 3). In various embodiments, labels 941, 942 caninclude machine-readable information, e.g., barcodes representing theserial number of test object 900, the first and second distances, orother information.

As discussed above with respect to exemplary embodiment of FIG. 3, theuser is prompted to, and invokes, a test process to let the videoinspection system 100 know that a test object having a test feature isthe target of the inspection. Alternatively, FIG. 17 illustrates a flowdiagram for an exemplary method 1400 for automatically detecting a knownmeasurable object feature on a viewed object using the video inspectionsystem 100. In this embodiment, discussed below and with reference toFIGS. 11-17, the detection of the known measurable object feature on aviewed object is performed without prior knowledge by the videoinspection system 100 that the known measurable object feature ispresent in the image (e.g., the user did not select a particular featureor choose a particular process based on that feature). It will beunderstood that the steps described in the flow diagram of FIG. 17 canbe performed in a different order that shown in the flow diagram andthat not all steps are required for certain embodiments. As will beexplained, the video inspection system 100 can automatically detect theknown measurable object feature on the viewed object.

At step 1410 (FIG. 17) and as shown in FIG. 11, the user can use thevideo inspection system 100 (e.g., the imager 112) to obtain or captureone or more images 1202 of a viewed object (e.g., test object 1250positioned on surface 1260). For example, for stereo, a single image canbe captured. For phase measurement, multiple images can be captured. Asshown in FIG. 11, soft keys 1212 can be provided on the display 1200 toprovide various functions to the user in obtaining images, including theselection of stereo or phase measurement to obtain the images 1202.These soft keys 1212 can change depending on the particular mode thatthe video inspection system 100 is in. Text bar 1210 on display 1200 canprovide prompts or the status of the process to the user (e.g.,“Obtaining Image”).

At step 1420 (FIG. 17) and as shown in FIG. 11, the video inspectionsystem 100 can display the image 1202 of the viewed object 1250 on thedisplay 1200. This displayed image 1202 of the viewed object 1250 isbased on the one or more images captured in step 1410 (FIG. 17).

As shown in FIGS. 11-13, the exemplary test object 1250 has several testfeatures (e.g., fiducials 1251, 1252, and 1253). Similar to the testobject 900 shown in FIG. 9, fiducials 1251 and 1252 are arranged to bedetectable by an image sensor. For example, if the image sensor isadapted to detect visible light, fiducials 1251, 1252, 1253 are formedto reflect or absorb visible light differently than surround 1256. Thecontroller can detect the fiducials in the image by image-processingtechniques that differentiate fiducials 1251, 1252, 1253 (e.g., blackink) from surround 1256 (e.g., a white surface) as discussed above.Fiducials 1251, 1252, 1253 can have the same shape, or different shapes,or two can have the same shape and one can have a different shape. Thefiducials 1251, 1252, 1253 can be distinguishable from each other by theway they are arranged. In this example, they are arranged so that thethree pairwise distances between them are different. The fiducials 1251,1252, 1253 can also be distinguishable from each other by their shapes,colors, or other properties that are detectable by the image sensor orthat can be determined by processing data from the image sensor. In thisexample, fiducial 1251 is distinguishable from fiducials 1252 and 12533by shape, and fiducials 1252 and 1253 are distinguishable from eachother by their respective separations from fiducial 1251. In thisexample, test object 1250 also includes labels 1254, 1255 indicating toa human (or a computer with optical character recognition technology)the first distance between fiducials 1251 and 1252, and the seconddistance between fiducials 1252 and 1253, respectively. The labels 1254,1255 provide the actual distances between the fiducials for comparisonto the computed distances allowing the accuracy of the system to beeasily assessed using only the saved measurement image.

At step 1430 (FIG. 17) and as shown in FIGS. 11 and 12, the videoinspection system 100 (e.g., the CPU 56) can detect the known measurableobject feature on the viewed object (e.g., test features (fiducials1251, 1252, 1253) on test object 1250). This step 1430 may include theselection by the user of a soft key 1212 to set the video inspectionsystem 100 in measurement mode. In one embodiment, the video inspectionsystem 100 (e.g., the CPU 56) can determine the three-dimensionalcoordinates (e.g., (x, y, z)) of a plurality of surface points on thetest object 1250. In one embodiment, the video inspection system 100 cangenerate three-dimensional data from the image 1202 in order todetermine the three-dimensional coordinates. Several different existingtechniques can be used to provide the three-dimensional coordinates(e.g., stereo, scanning systems, stereo triangulation, structured lightmethods such as phase shift analysis, phase shift moiré, laser dotprojection, etc.).

Most such techniques comprise the use of calibration data, which, amongother things, includes optical characteristic data that is used toreduce errors in the three-dimensional coordinates that would otherwisebe induced by optical distortions. With some techniques, thethree-dimensional coordinates may be determined using one or more imagescaptured in close time proximity that may include projected patterns andthe like. It is to be understood that references to three-dimensionalcoordinates determined using image 1202 may also comprisethree-dimensional coordinates determined using one or a plurality ofimages captured in close time proximity, and that the image displayed tothe user during the described operations may or may not actually be usedin the determination of the three-dimensional coordinates.

Depending on the complexity of the viewed object, techniques such aspattern matching and/or use of three dimensional data can be used atstep 1430 (FIG. 17) to detect the known measurable object feature on theviewed object (e.g., test features (fiducials 1251, 1252, 1253) on testobject 1250). In the embodiment shown in FIG. 11, when the videoinspection system 100 detects the known measurable object feature on theviewed object (e.g., test features (fiducials 1251, 1252, 1253) on testobject 1250), it can display the text identifying the known measurableobject feature in the text bar 1212 (e.g., “Test Block Detected”).

At step 1440 (FIG. 17) and as shown in FIG. 12, the video inspectionsystem 100 (e.g., the CPU 56) can display on the display 1200 a set ofavailable measurement types comprising measurement types (e.g., line1220, point-to-line 1221) associated with the detected known measurableobject feature (e.g., test features (fiducials 1251, 1252, 1253) on testobject 1250). In one embodiment, the set of available measurement typesfurther comprises measurement types (e.g., multi-segment 1222, depth1223, area 1224, depth profile 1225) not associated with the detectedknown measurable object feature (e.g., test features (fiducials 1251,1252, 1253) on test object 1250). In one embodiment, the measurementtypes are displayed with a graphic symbol 1230 of the measurement typeand/or a textual description of the measurement type As can be seen inFIG. 12, the measurement types (e.g., line 1220, point-to-line 1221)associated with the detected known measurable object feature (e.g., testfeatures (fiducials 1251, 1252, 1253) on test object 1250) are displayedwith a visual indicator 1231, which is not present on the measurementtypes (e.g., multi-segment 1222, depth 1223, area 1224, depth profile1225) not associated with the detected known measurable object feature.As shown in FIG. 12, in one embodiment, the order of the displayed setof available measurement types can be changed based on the measurementtypes associated with the detected known measurable object feature(e.g., by listing first the measurement types (e.g., line 1220,point-to-line 1221) associated with the detected known measurable objectfeature).

At step 1450 (FIG. 17) and as shown in FIG. 12, the video inspectionsystem 100 can receive the selection of the measurement type associatedwith the detected known measurable object feature (e.g., test features(fiducials 1251, 1252, 1253) on test object 1250) by the user. Forexample, the user can select the point-to-line measurement 1221, whichwas associated with the detected known measurable object feature (e.g.,test features (fiducials 1251, 1252, 1253) on test object 1250). In oneembodiment, the user may select multiple measurement types.

At step 1460 (FIG. 17) and as shown in FIG. 13, the video inspectionsystem 100 (e.g., the CPU 56) can automatically position a plurality ofmeasurement markers 1241, 1242, 1243 (e.g., cursors) on the image 1202on the display 1200, wherein the positions of the plurality ofmeasurement markers 1241, 1242, 1243 are based on the selectedmeasurement type (the point-to-line measurement 1221)(FIG. 12)associated with the detected known measurable object feature. Forexample, as shown in FIG. 13, the measurement markers 1241, 1242, 1243are automatically positioned on the fiducials 1251, 1252, 1253 on testobject 1250 to conduct the point-to-line measurement 1221 (FIG. 12). Inone embodiment, the user may manually reposition the measurement markers1241, 1242, 1243 if desired. In yet another embodiment, the user may addadditional measurements while the automatically positioned measurementmarkers 1241, 1242, 1243 are displayed. In one embodiment, steps 1440and 1450 can be bypassed and the video inspection system 100 (e.g., theCPU 56) can automatically position a plurality of measurement markersonce the video inspection system 100 (e.g., the CPU 56) detects theknown measurable object feature on the viewed object in step 1430.

At step 1470 (FIG. 17) and as shown in FIG. 13, the video inspectionsystem 100 can display on the display 1200 a dimension of the measurableobject feature computed by the CPU 56 using the positions of theplurality of measurement markers 1241, 1242, 1243. For example, thecomputed dimension 1244 between the second fiducial 1252 and the thirdfiducial 1253 (0.039 in. (1.0 mm)) and the computed dimension (z) 1245,1246 between the first fiducial 1251 and the second fiducial (0.1 in(2.54 mm)) can be displayed.

While the exemplary known measurable object feature on the viewed objectshown in FIGS. 11-13 was test features (fiducials 1251, 1252, 1253) ontest object 1250, it will be understood that the method forautomatically detecting a known measurable object feature on a viewedobject using a video inspection system can be used to automaticallydetect several different features, including, without limitation, a gapbetween a turbine blade tip and a shroud, a missing corner from aturbine blade tip, a curled turbine blade tip, a pit on the viewedobject, a dent on the viewed object, a crack on the viewed object, a gapbetween two surfaces, a weld height, a weld angle, etc.

As shown in FIGS. 14-16, the exemplary known measurable object featureis the gap between the tip 1351 of a turbine blade 1350 and the surface1361 of the shroud 1360. At step 1410 (FIG. 17) and as shown in FIG. 14,the user can use the video inspection system 100 (e.g., the imager 112)to obtain or capture one or more images 1302 of a viewed object (e.g.,the tip 1351 of the turbine blade 1350 and the surface 1361 of theshroud 1360). As shown in FIG. 14, soft keys 1312 can be provided on thedisplay 1300 to provide various functions to the user in obtainingimages, including the selection of stereo or phase measurement to obtainthe images 1302. These soft keys 1312 can change depending on theparticular mode that the video inspection system 100 is in. Text bar1310 on display 1300 can provide prompts or the status of the process tothe user (e.g., “Obtaining Image”).

At step 1420 (FIG. 17) and as shown in FIG. 14, the video inspectionsystem 100 can display the image 1302 of the tip 1351 of a turbine blade1350 and the surface 1361 of the shroud 1360 on the display 1300. Thisdisplayed image 1302 of the viewed object is based on the one or moreimages captured in step 1410 (FIG. 17).

At step 1430 (FIG. 17) and as shown in FIGS. 14 and 15, the videoinspection system 100 (e.g., the CPU 56) can detect the known measurableobject feature on the viewed object (e.g., the gap between the tip 1351of a turbine blade 1350 and the surface 1361 of the shroud 1360). Thisstep 1430 may include the selection by the user of a soft key 1312 toset the video inspection system 100 in measurement mode. As discussedabove, in one embodiment, the video inspection system 100 (e.g., the CPU56) can determine the three-dimensional coordinates (e.g., (x, y, z)) ofa plurality of surface points on the test object. In one embodiment, thevideo inspection system 100 can generate three-dimensional data from theimage 1302 in order to determine the three-dimensional coordinates.Several different existing techniques can be used to provide thethree-dimensional coordinates (e.g., stereo, scanning systems, stereotriangulation, structured light methods such as phase shift analysis,phase shift moiré, laser dot projection, etc.).

Depending on the complexity of the viewed object, techniques such aspattern matching and/or use of three dimensional data can be used atstep 1430 (FIG. 17) to detect the known measurable object feature on theviewed object (e.g., the gap between the tip 1351 of a turbine blade1350 and the surface 1361 of the shroud 1360). In one embodiment, thestep 1430 of detecting the known measurable object feature on the viewedobject using a central processor unit comprises detecting an edge of theviewed object (e.g., the edge of the turbine blade 1350). In addition,the CPU 56 can identify the existence of two perpendicular surfaces(edge of the turbine blade 1350 and the surface 1361 of the shroud1360), with one surface extending past the other to identify theparticular viewed object (e.g., the gap between the tip 1351 of aturbine blade 1350 and the surface 1361 of the shroud 1360).

In the embodiment shown in FIG. 14, when the video inspection system 100detects the known measurable object feature on the viewed object (e.g.,the gap between the tip 1351 of a turbine blade 1350 and the surface1361 of the shroud 1360), it can display the text identifying the knownmeasurable object feature in the text bar 1312 (e.g., “Turbine Blade TipTo Shroud”). In one embodiment, a specific icon for a measurement typecan be displayed when the known measurable object feature is detected(e.g., an icon for the Turbine Blade Tip to Shroud measurement).

At step 1440 (FIG. 17) and as shown in FIG. 15, the video inspectionsystem 100 (e.g., the CPU 56) can display on the display 1300 a set ofavailable measurement types comprising measurement types (e.g.,point-to-line 1321) associated with the detected known measurable objectfeature (e.g., the gap between the tip 1351 of a turbine blade 1350 andthe surface 1361 of the shroud 1360). In one embodiment, the set ofavailable measurement types further comprises measurement types (e.g.,line 1320) not associated with the detected known measurable objectfeature (e.g., the gap between the tip 1351 of a turbine blade 1350 andthe surface 1361 of the shroud 1360). In one embodiment, the measurementtypes are displayed with a graphic symbol 1330 of the measurement typeand/or a textual description of the measurement type. As can be seen inFIG. 15, the measurement type (e.g., point-to-line 1321) associated withthe detected known measurable object feature is displayed with a visualindicator 1331, which is not present on the measurement types (e.g.,line 1320) not associated with the detected known measurable objectfeature. As shown in FIG. 15, in one embodiment, the order of thedisplayed set of available measurement types can be changed based on themeasurement types associated with the detected known measurable objectfeature (e.g., by listing first the measurement type (e.g.,point-to-line 1321) associated with the detected known measurable objectfeature.

At step 1450 (FIG. 17) and as shown in FIG. 15, the video inspectionsystem 100 can receive the selection of the measurement type associatedwith the detected known measurable object feature (e.g., the gap betweenthe tip 1351 of a turbine blade 1350 and the surface 1361 of the shroud1360) by the user. For example, the user can select the point-to-linemeasurement 1321, which was associated with the detected knownmeasurable object feature (e.g., the gap between the tip 1351 of aturbine blade 1350 and the surface 1361 of the shroud 1360). In oneembodiment, the user may select multiple measurement types.

At step 1460 (FIG. 17) and as shown in FIG. 16, the video inspectionsystem 100 (e.g., the CPU 56) can automatically position a plurality ofmeasurement markers 1341, 1342, 1343 (e.g., cursors) on the image 1302on the display 1300, wherein the positions of the plurality ofmeasurement markers 1341, 1342, 1343 are based on the selectedmeasurement type (the point-to-line measurement 1321)(FIG. 15)associated with the detected known measurable object feature. Forexample, as shown in FIG. 16, the measurement markers 1341, 1342, 1343are automatically positioned on the tip 1351 of the turbine blade 1350and the surface 1361 of the shroud 1360 to conduct the point-to-linemeasurement 1321 (FIG. 15). In one embodiment, the user may manuallyreposition the measurement markers 1341, 1342, 1343 if desired. In yetanother embodiment, the user may add additional measurements while theautomatically positioned measurement markers 1341, 1342, 1343 aredisplayed. In one embodiment, steps 1440 and 1450 can be bypassed andthe video inspection system 100 (e.g., the CPU 56) can automaticallyposition a plurality of measurement markers once the video inspectionsystem 100 (e.g., the CPU 56) detects the known measurable objectfeature on the viewed object in step 1430.

At step 1470 (FIG. 17) and as shown in FIG. 16, the video inspectionsystem 100 can display on the display 1300 a dimension of the measurableobject feature computed by the CPU 56 using the positions of theplurality of measurement markers 1341, 1342, 1343. For example, thecomputed dimension 1344 of the gap between the tip 1351 of the turbineblade 1350 and the surface 1361 of the shroud 1360 (0.32 in. (8.13 mm))can be displayed.

An advantage that may be realized in the practice of some disclosedembodiments of the method and system for automatically detecting a knownmeasurable object feature using a video inspection system is theimproved efficiency of the measuring process and the reduction in thelevel of skill required to perform the measurements.

FIG. 4 is a high-level diagram showing the components of an exemplarydata-processing system for analyzing data and performing other analysesdescribed herein. The system includes a data processing system 1110, aperipheral system 1120, a user interface system 1130, and a data storagesystem 1140. The peripheral system 1120, the user interface system 1130and the data storage system 1140 are communicatively connected to thedata processing system 1110. Data processing system 1110 can becommunicatively connected to network 1150, e.g., the Internet or an X.25network, as discussed below. A controller carrying out operationsdescribed above (e.g., in FIG. 3) can include one or more of systems1110, 1120, 1130, or 1140, and can connect to one or more network(s)1150. For example, microcontroller 30, CPU 56, or video processor(s) 50(all FIG. 1) can each include system 1110 and one or more of systems1120, 1130, or 1140.

The data processing system 1110 includes one or more data processor(s)that implement processes of various embodiments described herein. A“data processor” is a device for automatically operating on data and caninclude a central processing unit (CPU), a desktop computer, a laptopcomputer, a mainframe computer, a personal digital assistant, a digitalcamera, a cellular phone, a smartphone, or any other device forprocessing data, managing data, or handling data, whether implementedwith electrical, magnetic, optical, biological components, or otherwise.

The phrase “communicatively connected” includes any type of connection,wired or wireless, between devices, data processors, or programs inwhich data can be communicated. Subsystems such as peripheral system1120, user interface system 1130, and data storage system 1140 are shownseparately from the data processing system 1110 but can be storedcompletely or partially within the data processing system 1110.

The data storage system 1140 includes or is communicatively connectedwith one or more tangible non-transitory computer-readable storagemedium(s) configured to store information, including the informationneeded to execute processes according to various embodiments. A“tangible non-transitory computer-readable storage medium” as usedherein refers to any non-transitory device or article of manufacturethat participates in storing instructions which may be provided to dataprocessing system 1110 for execution. Such a non-transitory medium canbe non-volatile or volatile. Examples of non-volatile media includefloppy disks, flexible disks, or other portable computer diskettes, harddisks, magnetic tape or other magnetic media, Compact Discs andcompact-disc read-only memory (CD-ROM), DVDs, BLU-RAY disks, HD-DVDdisks, other optical storage media, Flash memories, read-only memories(ROM), and erasable programmable read-only memories (EPROM or EEPROM).Examples of volatile media include dynamic memory, such as registers andrandom access memories (RAM). Storage media can store dataelectronically, magnetically, optically, chemically, mechanically, orotherwise, and can include electronic, magnetic, optical,electromagnetic, infrared, or semiconductor components.

Embodiments of the present invention can take the form of a computerprogram product embodied in one or more tangible non-transitory computerreadable medium(s) having computer readable program code embodiedthereon. Such medium(s) can be manufactured as is conventional for sucharticles, e.g., by pressing a CD-ROM. The program embodied in themedium(s) includes computer program instructions that can direct dataprocessing system 1110 to perform a particular series of operationalsteps when loaded, thereby implementing functions or acts specifiedherein.

In an example, data storage system 1140 includes code memory 1141, e.g.,a random-access memory, and disk 1142, e.g., a tangiblecomputer-readable storage device such as a hard drive or solid-stateflash drive. Computer program instructions are read into code memory1141 from disk 1142, or a wireless, wired, optical fiber, or otherconnection. Data processing system 1110 then executes one or moresequences of the computer program instructions loaded into code memory1141, as a result performing process steps described herein. In thisway, data processing system 1110 carries out a computer implementedprocess that provides for a technical effect of measuring geometriccharacteristics of the test feature and determining the physicalcondition of a remote visual inspection system. This condition (accurateor not) can then be reported to a user. In various embodiments, blocksof the flowchart illustrations or block diagrams herein, andcombinations of those, can be implemented by computer programinstructions.

Computer program code can be written in any combination of one or moreprogramming languages, e.g., Java, Smalltalk, C++, C, or an appropriateassembly language. Program code to carry out methods described hereincan execute entirely on a single data processing system 1110 or onmultiple communicatively-connected data processing systems 1110. Forexample, code can execute wholly or partly on a user's computer andwholly or partly on a remote computer, e.g., a server. The remotecomputer can be connected to the user's computer through network 1150.The user's computer or the remote computer can be non-portablecomputers, such as conventional desktop personal computers (PCs), or canbe portable computers such as tablets, cellular telephones, smartphones,or laptops.

The peripheral system 1120 can include one or more devices configured toprovide digital content records or other data to the data processingsystem 1110. For example, the peripheral system 1120 can include digitalstill cameras, digital video cameras, cellular phones, or other dataprocessors. The data processing system 1110, upon receipt of data from adevice in the peripheral system 1120, can store such data in the datastorage system 1140.

The user interface system 1130 can include a mouse, a keyboard, anothercomputer (connected, e.g., via a network or a null-modem cable), amicrophone and speech processor or other device(s) for receiving voicecommands, a camera and image processor or other device(s) for receivingvisual commands, e.g., gestures, or any device or combination of devicesfrom which data is input to the data processing system 1110. In thisregard, although the peripheral system 1120 is shown separately from theuser interface system 1130, the peripheral system 1120 can be includedas part of the user interface system 1130.

The user interface system 1130 also can include a display device, aprocessor-accessible memory, or any device or combination of devices towhich data is output by the data processing system 1110. In this regard,if the user interface system 1130 includes a processor-accessiblememory, such memory can be part of the data storage system 1140 eventhough the user interface system 1130 and the data storage system 1140are shown separately in FIG. 4.

In various embodiments, data processing system 1110 includescommunication interface 1115 that is coupled via network link 1116 tonetwork 1150. For example, communication interface 1115 can be anintegrated services digital network (ISDN) card or a modem to provide adata communication connection to a corresponding type of telephone line.As another example, communication interface 1115 can be a network cardto provide a data communication connection to a compatible local-areanetwork (LAN), e.g., an Ethernet LAN, or wide-area network (WAN).Wireless links, e.g., WiFi or GSM, can also be used. Communicationinterface 1115 sends and receives electrical, electromagnetic or opticalsignals that carry digital data streams representing various types ofinformation across network link 1116 to network 1150. Network link 1116can be connected to network 1150 via a switch, gateway, hub, router, orother networking device.

Network link 1116 can provide data communication through one or morenetworks to other data devices. For example, network link 1116 canprovide a connection through a local network to a host computer or todata equipment operated by an Internet Service Provider (ISP).

Data processing system 1110 can send messages and receive data,including program code, through network 1150, network link 1116 andcommunication interface 1115. For example, a server can store requestedcode for an application program (e.g., a JAVA applet) on a tangiblenon-volatile computer-readable storage medium to which it is connected.The server can retrieve the code from the medium and transmit it throughthe Internet, thence a local ISP, thence a local network, thencecommunication interface 1115. The received code can be executed by dataprocessing system 1110 as it is received, or stored in data storagesystem 1140 for later execution.

In view of the foregoing, various embodiments of the invention image thetest feature and process the images to determine whether a remote visualinspection system is operating within acceptable accuracy limits. Atechnical effect is to permit determining that a remote visual systemshould be used, or that it should not be used, or that it is in need ofrepair or recalibration.

The invention is inclusive of combinations of the aspects or embodimentsdescribed herein. References to “a particular aspect” or “embodiment”and the like refer to features that are present in at least one aspectof the invention. Separate references to “an aspect” or “particularaspects” or “embodiments” or the like do not necessarily refer to thesame aspect or aspects; however, such aspects are not mutuallyexclusive, unless so indicated or as are readily apparent to one ofskill in the art. The use of singular or plural in referring to “method”or “methods” and the like is not limiting. The word “or” is used in thisdisclosure in a non-exclusive sense, unless otherwise explicitly noted.

The invention has been described in detail with particular reference tocertain preferred aspects thereof, but it will be understood thatvariations, combinations, and modifications can be effected by a personof ordinary skill in the art within the spirit and scope of theinvention. Examples of variations, combinations, and modifications thatare intended to be within the scope of the claims are those havingstructural elements that do not differ from the literal language of theclaims and those including equivalent structural elements withinsubstantial differences from the literal language of the claims.

What is claimed is:
 1. A method for automatically detecting a knownmeasurable object feature on a viewed object using a video inspectionsystem, the method comprising the steps of: displaying on a display animage of the viewed object; detecting the known measurable objectfeature on the viewed object using a central processor unit; displayingon the display a set of available measurement types comprising ameasurement type associated with the detected known measurable objectfeature using the central processor unit; receiving the selection of themeasurement type associated with the detected known measurable objectfeature; automatically positioning a plurality of measurement markers onthe image on the display using the central processor unit, wherein thepositions of the plurality of measurement markers are based on theselected measurement type associated with the detected known measurableobject feature; and displaying on the display a dimension of themeasurable object feature computed by the central processor unit usingthe positions of the plurality of measurement markers.
 2. The method ofclaim 1, wherein the set of available measurement types furthercomprises a measurement type not associated with the detected knownmeasurable object feature.
 3. The method of claim 1, wherein themeasurement type associated with the detected known measurable objectfeature is displayed with a visual indicator.
 4. The method of claim 1,wherein the known measurable object feature is a test feature on a testobject.
 5. The method of claim 1, wherein the known measurable objectfeature is one of a gap between a turbine blade tip and a shroud, amissing corner from a turbine blade tip, and a curled turbine blade tip.6. The method of claim 1, wherein the known measurable object feature isone of a pit on the viewed object, a dent on the viewed object, and acrack on the viewed object.
 7. The method of claim 1, wherein the knownmeasurable object feature is one of a gap between two surfaces, a weldheight, and a weld angle.
 8. The method of claim 1, wherein the step ofdetecting the known measurable object feature on the viewed object usinga central processor unit comprises determining the three-dimensionalcoordinates of a plurality of points on the viewed object, and detectingthe known measurable object feature on the viewed object based on thethree-dimensional coordinates.
 9. The method of claim 8, wherein thestep of detecting the known measurable object feature on the viewedobject using a central processor unit comprises detecting an edge of theviewed object.
 10. The method of claim 1, further comprising the step ofobtaining one or more images of the viewed object using an imager,wherein the displayed image of the viewed object is based on the one ormore images.
 11. The method of claim 1, wherein an order of thedisplayed set of available measurement types is changed based on themeasurement type associated with the detected known measurable objectfeature.
 12. A method for automatically detecting a known measurableobject feature on a viewed object using a video inspection system, themethod comprising the steps of: displaying on a display an image of theviewed object; detecting the known measurable object feature on theviewed object using a central processor unit; automatically positioninga plurality of measurement markers on the image on the display using thecentral processor unit, wherein the positions of the plurality ofmeasurement markers are based on a measurement type associated with thedetected known measurable object feature; and displaying on the displaya dimension of the measurable object computed by the central processorunit using the positions of the plurality of measurement markers. 13.The method of claim 12, further comprising the step of displaying on thedisplay a set of available measurement types comprising the measurementtype associated with the detected known measurable object feature usingthe central processor unit.
 14. The method of claim 12, wherein the setof available measurement types further comprises a measurement type notassociated with the detected known measurable object feature.
 15. Themethod of claim 12, wherein the measurement type associated with thedetected known measurable object feature is displayed with a visualindicator.
 16. A system for automatically detecting a known measurableobject feature on a viewed object using a video inspection system, thesystem comprising: a display for displaying an image of the viewedobject; and a central processor unit for detecting the known measurableobject feature on the viewed object, displaying on the display a set ofavailable measurement types comprising a measurement type associatedwith the detected known measurable object feature, receiving theselection of the measurement type associated with the detected knownmeasurable object feature, automatically positioning a plurality ofmeasurement markers on the image on the display, wherein the positionsof the plurality of measurement markers are based on the selectedmeasurement type associated with the detected known measurable objectfeature, and computing a dimension of the measurable object featureusing the positions of the plurality of measurement markers.